50 Data Analysts jobs in Bracknell

Profectus have partnered with a market leading client hiring a Data Analyst . The role will be on a hybrid basis, 2 days on-site in Newbury per week required.

You’ll be responsible for leading the strategic analysis and interpretation of complex datasets. Your work will directly inform the development of data products that influence key business and research outcomes. This is a cross-functional role with direct interaction across data engineering, product teams, and stakeholders, both technical and non-technical.

You’ll play a vital part in building repeatable, scalable analytical solutions, providing actionable insights, and supporting innovation in a data-first environment.

Key Responsibilities:

• Conduct detailed technical analysis of structured and unstructured data to assess structure, quality, and usability.
• Translate complex business requirements into robust data solutions and modelling frameworks.
• Collaborate with internal stakeholders and clients to gather requirements and deliver high-impact data insights.
• Own and maintain business and technical documentation, ensuring clarity across the delivery lifecycle.
• Drive Agile ways of working - contributing to backlog refinement, defining outcomes, and supporting user acceptance testing.
• Support delivery of data products through collaborative work with engineering and architecture teams.

Essential Experience & Skills:

• Proven background in Data Analysis, with approx. 4+ years in a senior or equivalent role.
• Strong experience in SQL (writing and optimising complex queries).
• Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy).
• Experience working with large datasets , and advanced data modelling techniques.
• Ability to engage with stakeholders and translate their needs into actionable data solutions.
• Solid understanding of data structures , schemas , and normalisation principles.
• Skilled in creating impactful data visualisations and dashboards.
• Familiarity with data quality and governance principles .

Desirable (or trainable) Experience:

• Tools such as Power BI , Alteryx , Azure Synapse , or Azure Fabric .
• Data modelling methodologies such as 3NF , Kimball , or Data Vault .

If this sounds like an interesting position to you, please apply with an up-to-date CV for immediate consideration.

Profectus have partnered with a market leading client hiring a Data Analyst . The role will be on a hybrid basis, 2 days on-site in Newbury per week required.

You’ll be responsible for leading the strategic analysis and interpretation of complex datasets. Your work will directly inform the development of data products that influence key business and research outcomes. This is a cross-functional role with direct interaction across data engineering, product teams, and stakeholders, both technical and non-technical.

You’ll play a vital part in building repeatable, scalable analytical solutions, providing actionable insights, and supporting innovation in a data-first environment.

Key Responsibilities:

• Conduct detailed technical analysis of structured and unstructured data to assess structure, quality, and usability.
• Translate complex business requirements into robust data solutions and modelling frameworks.
• Collaborate with internal stakeholders and clients to gather requirements and deliver high-impact data insights.
• Own and maintain business and technical documentation, ensuring clarity across the delivery lifecycle.
• Drive Agile ways of working - contributing to backlog refinement, defining outcomes, and supporting user acceptance testing.
• Support delivery of data products through collaborative work with engineering and architecture teams.

Essential Experience & Skills:

• Proven background in Data Analysis, with approx. 4+ years in a senior or equivalent role.
• Strong experience in SQL (writing and optimising complex queries).
• Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy).
• Experience working with large datasets , and advanced data modelling techniques.
• Ability to engage with stakeholders and translate their needs into actionable data solutions.
• Solid understanding of data structures , schemas , and normalisation principles.
• Skilled in creating impactful data visualisations and dashboards.
• Familiarity with data quality and governance principles .

Desirable (or trainable) Experience:

• Tools such as Power BI , Alteryx , Azure Synapse , or Azure Fabric .
• Data modelling methodologies such as 3NF , Kimball , or Data Vault .

If this sounds like an interesting position to you, please apply with an up-to-date CV for immediate consideration.

• Assisting in the collection, cleaning, and preprocessing of data from various sources.
• Performing data analysis using statistical methods and software tools.
• Creating clear and informative data visualizations and reports to communicate findings.
• Supporting senior analysts in developing dashboards and business intelligence solutions.
• Identifying patterns, trends, and anomalies within datasets.
• Helping to maintain data integrity and accuracy across all systems.
• Participating in team meetings and contributing to project discussions.
• Learning and applying new data analysis techniques and tools as required.
• Documenting data processes and methodologies.

• Minimum of 5 GCSEs at Grade C/4 or above, including Maths and English, or equivalent qualifications.
• A demonstrable interest in data, numbers, and problem-solving.
• Strong analytical and logical thinking skills.
• Good attention to detail.
• Basic proficiency in Microsoft Excel or similar spreadsheet software.
• Excellent communication and interpersonal skills.
• Ability to work effectively as part of a team.
• Eagerness to learn and a proactive attitude towards training and development.

• Assist in the collection, cleaning, and organization of data from various sources.
• Perform basic data analysis to identify trends, patterns, and insights.
• Support the creation of reports and dashboards to visualize data for stakeholders.
• Contribute to the development and maintenance of databases and data systems.
• Collaborate with senior analysts and team members to understand project requirements.
• Help in validating data accuracy and integrity.
• Learn and apply data analysis tools and techniques.
• Assist in preparing presentations and summaries of findings.
• Participate in team meetings and contribute to discussions on data-related projects.
• Gain exposure to business operations and how data analysis drives decision-making.

• Currently pursuing or recently completed a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of data analysis principles and statistical concepts.
• Familiarity with spreadsheet software such as Microsoft Excel or Google Sheets.
• An analytical mindset with strong attention to detail.
• Excellent organizational and time management skills.
• Good communication skills, both written and verbal.
• Eagerness to learn and a proactive attitude.
• Ability to work collaboratively in a team environment.
• Basic knowledge of SQL or Python for data manipulation is a plus.
• Strong desire to build a career in data analytics.

• Collect, clean, and organize data from various sources.
• Perform data analysis to identify trends, patterns, and insights.
• Develop and generate regular reports and dashboards.
• Assist in the creation of data visualizations.
• Support senior analysts in data-driven projects.
• Ensure data accuracy and integrity.
• Communicate findings to stakeholders clearly and concisely.
• Learn and apply new data analysis techniques and tools.

• Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field.
• Proficiency in Microsoft Excel.
• Basic understanding of SQL for data querying.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Strong analytical and problem-solving skills.
• Excellent attention to detail.
• Good written and verbal communication skills.
• Eagerness to learn and develop in a data-focused role.

• Assist in data collection, cleaning, and preprocessing tasks.
• Support the creation and maintenance of reports and data visualizations.
• Analyze datasets to identify trends, patterns, and anomalies.
• Help in the interpretation of data findings and contribute to data-driven recommendations.
• Learn and apply statistical methods and analytical techniques.
• Collaborate with senior analysts and other team members on data projects.
• Gain experience with data analysis tools and software.
• Document data processes and analytical methodologies.
• Assist in ensuring data accuracy and integrity.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong foundational knowledge of statistical principles and data analysis concepts.
• Proficiency in Microsoft Excel for data manipulation and analysis.
• Familiarity with database concepts and SQL is a plus.
• Exposure to programming languages like Python or R is advantageous.
• Excellent analytical and problem-solving skills.
• Good written and verbal communication abilities.
• Eagerness to learn and a proactive approach to tasks.
• Ability to work effectively in a team environment.

• Assist in the collection, cleaning, and organisation of data from various sources.
• Perform data analysis to identify trends, patterns, and insights.
• Support the development of reports and dashboards to communicate findings.
• Collaborate with senior analysts on data modelling and statistical analysis projects.
• Help maintain data integrity and accuracy.
• Contribute to ad-hoc data requests from different departments.
• Learn and apply new data analysis tools and techniques.
• Assist in the preparation of presentations summarising analytical results.
• Participate in team meetings and contribute to data-driven discussions.

• Recent graduate with a degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel (e.g., pivot tables, VLOOKUP).
• Familiarity with data visualisation tools (e.g., Tableau, Power BI) is a plus.
• Basic understanding of SQL for data extraction is advantageous.
• Excellent attention to detail and accuracy.
• Strong written and verbal communication skills.
• Ability to work effectively in a team environment.
• A genuine interest in data analysis and a desire to learn.
• Must be eligible to undertake an internship in the UK.

• Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Support the development and maintenance of reports and dashboards using tools like Tableau or Power BI.
• Contribute to the design and execution of A/B tests and other analytical experiments.
• Collaborate with cross-functional teams to define data requirements and translate business needs into analytical solutions.
• Document data processes, methodologies, and findings.
• Maintain data integrity and accuracy.
• Learn and apply statistical techniques and data modeling concepts.
• Stay updated with the latest trends and best practices in data analytics.

• A Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
• Proficiency in SQL for data extraction and manipulation.
• Basic understanding of statistical concepts and their application.
• Familiarity with at least one programming language such as Python or R is a plus.
• Experience with data visualization tools (e.g., Tableau, Power BI) is advantageous.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal abilities, with the capacity to explain technical concepts to non-technical audiences.
• Meticulous attention to detail and a commitment to accuracy.
• Ability to work independently and as part of a team in a fast-paced environment.

• Assist in the collection, cleaning, and validation of large datasets.
• Perform exploratory data analysis to identify trends and patterns.
• Support the development of reports, dashboards, and visualizations.
• Help in the creation and maintenance of data models and analytical tools.
• Collaborate with team members to interpret data and generate insights.
• Document data sources, methodologies, and findings.
• Assist in testing and quality assurance of data outputs.
• Respond to ad-hoc data analysis requests from various departments.
• Stay updated with the latest trends and technologies in data analytics.
• Contribute to a data-driven culture within the organization.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Basic knowledge of SQL for data extraction and manipulation.
• Proficiency in Microsoft Excel, including formulas and data visualization.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Understanding of statistical concepts and data analysis principles.
• Good written and verbal communication skills.
• Strong attention to detail and commitment to accuracy.
• Ability to work independently and as part of a team.
• Eagerness to learn and develop new skills in data analytics.